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hub.md

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## What is JupyterHub?
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JupyterHub provides remote access to Jupyter servers on shared infrastructure
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in order to make computational environments and resources more accessible to
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students, researchers, and data scientists.
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JupyterHub brings the power of notebooks to groups of users. It gives
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users access to computational environments and resources without burdening
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the users with installation and maintenance tasks. Users - including students,
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researchers, and data scientists - can get their work done in their own
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workspaces on shared resources which can be managed efficiently by system administrators.
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JupyterHub runs in the cloud or on your own hardware, and makes it possible
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to serve a pre-configured data science environment to any user in the world.
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## Key features of JupyterHub
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**Flexible** - JupyterHub can be used to serve a variety of environments. It
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**Customizable** - JupyterHub can be used to serve a variety of environments. It
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supports dozens of kernels with the Jupyter server, and can be used to serve
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a variety of user interfaces including the Jupyter Notebook, Jupyter Lab,
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RStudio, nteract, and more.
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**Secure** - JupyterHub can be configured with authentication in order to
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**Flexible** - JupyterHub can be configured with authentication in order to
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provide access to a subset of users. Authentication is pluggable, supporting
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a number of authentication protocols (such as OAuth and GitHub).
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**Portable** - JupyterHub is entirely open-source and designed
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to be run on a variety of infrastructure. This includes commercial cloud
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providers, virtual machines, even your own laptop hardware.
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providers, virtual machines, or even your own laptop hardware.
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The foundational JupyterHub code and technology can be found in the [JupyterHub
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repository](https://github.com/jupyterhub/jupyterhub). This repository and the
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[JupyterHub documentation](https://jupyterhub.readthedocs.io/)
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contain more information about the internals of JupyterHub, its customization, and its
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configuration.
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## Deploy a JupyterHub
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The Jupyter Community curates two JupyterHub "distributions" for deploying
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in the cloud. Follow the links below for more information.
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**[The Littlest JupyterHub](https://tljh.jupyter.org)** is a lightweight
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method to install JupyterHub on a **single virtual machine**. The TLJH
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guide has information on creating a VM on several cloud providers, as well
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as installing and customizing JupyterHub so that users may access it at a
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public URL.
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**[Zero to JupyterHub for Kubernetes](https://z2jh.jupyter.org)** deploys
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JupyterHub on Kubernetes using Docker, allowing it to be scaled and
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maintained efficiently for **large numbers of users**. Zero to JupyterHub
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is a Helm Chart for deploying JupyterHub quickly, as well as a semi-complete
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is a Helm Chart for deploying JupyterHub quickly, as well as a
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guide to deploying and configuring your JupyterHub on Kubernetes.
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**[The JupyterHub repository](https://github.com/jupyterhub/jupyterhub)**
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contains more information about the internals of JupyterHub and how to
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deploy it on more custom setups (such as your own laptop).
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**[The Littlest JupyterHub](https://tljh.jupyter.org)**, a recent and evolving
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distribution designed for smaller deployments, is a lightweight
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method to install JupyterHub on a **single virtual machine**. The Littlest
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JupyterHub (also known as TLJH), provides a
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guide with information on creating a VM on several cloud providers, as well
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as installing and customizing JupyterHub so that users may access it at a
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public URL.
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## Join the community
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JupyterHub is an open-source and community-driven project. We'd love for you
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to join our community and contribute code, time, comments, or just
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appreciation.
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Like all Project Jupyter efforts, JupyterHub is an
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open-source and community-driven project. We'd love for you
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to join our community and contribute code, time, comments, or appreciation.
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**[The JupyterHub Gitter Channel](https://gitter.im/jupyterhub/jupyterhub)**
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is a place where the JupyterHub community discuses developments in the

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